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29418
2005 Nov 01
3
glmmpql and lmer keep failing
Hello,
I'm running a simulation study of a multilevel model with binary
response using the binomial probit link. It is a random intercept and
random slope model. GLMMPQL and lmer fail to converge on a
*significant* portion of the *generated* datasets, while MlWin gives
reasonable estimates on those datasets. This is unacceptable. Does
anyone has similar experiences?
Regards,
Roel de
2009 Mar 05
0
predict.fda - NAs are not allowed in subscripted assignments
...$ VA_D113: num 1030 10 200
370
$ VA_D114: num 450 1590 1480 670
$ VA_D115: num 10 20 0 0
$ VA_D116:
num 780 1120 570 410
$ VA_D118: num 1690 3260 1560 3930
$ VA_D119: num
13730 8660 15380 10070
$ VA_D120: num 1270 70 570 360
$ VA_D121: num 350
410 140 270
$ CAT : num 254935 294186 296143 306054
$ PRES : num 1 1 0
0
Now I want to predict fitted values for my new.data
'data.frame': 418507
obs. of 41 variables:
$ VA_D123: num 2560 2520 2480 2440 2400 2360 2320 2280
2230 2190 ...
$ VA_D124: num 3410 3420 3430 3440 3460 3470 3480 3490 3500
3510 ...
$ VA_...